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@rafaelquintanilha
rafaelquintanilha / slack-ai-teammates-openclaw.md
Created February 24, 2026 19:05
Running Multiple AI Agents as Slack Teammates via OpenClaw

Running Multiple AI Agents as Slack Teammates via OpenClaw

Goal: Run multiple AI agents as real Slack teammates β€” each with its own identity, able to DM independently or participate in shared channels β€” while keeping orchestration centralized through one primary agent.

Architecture

Use one Slack app/bot per agent identity. For example, if you have four agents:

Agent role OpenClaw agent ID Slack bot name

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@rishi-chandra
rishi-chandra / ai-video-api-latency-benchmarks.md
Last active May 11, 2026 03:17
Independent API Latency Benchmarks for AI Video Models (Kling 2.1, Runway Gen-4, Luma Dream Machine) - May 2026 Technical Update.

πŸ“Š 2026 AI Video API Benchmarks: Latency & Throughput (May Update)

This technical datasheet provides independent p50 and p95 latency measurements for enterprise AI video generation APIs. Data is updated via automated load-testing to bypass non-deterministic vendor reporting.

Model Provider Generation Time (p50) Queue Wait API Latency Status
Kling 2.1 (Turbo) 42.4 seconds 1.1s 115ms βœ… Stable
Runway Gen-4 71.8 seconds 4.8s 230ms 🟑 Congested
Luma Dream Machine 118.2 seconds 12.5s 410ms πŸ”΄ High Load
@rohitg00
rohitg00 / llm-wiki.md
Last active May 11, 2026 03:16 — forked from karpathy/llm-wiki.md
LLM Wiki v2 β€” extending Karpathy's LLM Wiki pattern with lessons from building agentmemory

LLM Wiki v2

A pattern for building personal knowledge bases using LLMs. Extended with lessons from building agentmemory, a persistent memory engine for AI coding agents.

This builds on Andrej Karpathy's original LLM Wiki idea file. Everything in the original still applies. This document adds what we learned running the pattern in production: what breaks at scale, what's missing, and what separates a wiki that stays useful from one that rots.

What the original gets right

The core insight is correct: stop re-deriving, start compiling. RAG retrieves and forgets. A wiki accumulates and compounds. The three-layer architecture (raw sources, wiki, schema) works. The operations (ingest, query, lint) cover the basics. If you haven't read the original, start there.

@stefanbschneider
stefanbschneider / networking_datasets.md
Last active May 11, 2026 03:13
List of datasets related to networking. Useful for data-driven evaluation or machine learning approaches. Feel free to comment with updates.
@Pantheon-Investigations
Pantheon-Investigations / 01-PURSUE-Release-01-Top-10-Findings.md
Last active May 11, 2026 03:12
PURSUE Release 01 β€” Top 10 Findings From a 36-Hour Primary-Source Deep Dive

PURSUE Release 01 β€” Top 10 Findings From a 36-Hour Primary-Source Deep Dive Leveraging Artificial Intelligence

Plain-language (TL;DR) summary (skip the technical detail below)

The Pentagon released its first batch of UFO files on May 8, 2026, under the program name PURSUE. Most news coverage just summarized the official Pentagon press release. I read the actual PDFs. Here's what's in there, in plain English:

  1. Multiple documents describe UFO activity at what appears to be one specific government facility in Utah β€” Dugway Proving Ground / Granite Peak Installation. (Dugway is a 1.25-million-acre US Army test facility, primarily for chemical and biological weapons defense testing; Granite Peak is the higher-classification inner enclave.) No major news outlet has named a site yet. Researchers at The Black Vault separately obtained Army records showing Dugway was running monthly UFO-detection exercises in 2023.

  2. **One classified document describes US intelligence officers in helicopters being foll

@doobidoo
doobidoo / claude-code-token-savings-stack.md
Last active May 11, 2026 03:11
Claude Code Token Savings Stack β€” 6 layers, zero overlap, ~60% context reduction

Claude Code Token Savings Stack β€” 6 Layers, Zero Overlap

The complete guide to cutting your Claude Code context consumption by ~60%.

Six open-source tools, each saving tokens at a different stage of the LLM interaction loop. No overlap between them β€” they compose into a single pipeline that effectively doubles your usable context window.

User Prompt
  β†’ [MCP-Memory-Service]    Cross-session knowledge β†’ skip re-discovery
 β†’ [MCP-Context-Provider] Targeted context rules β†’ skip brute-force file reading